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High-level classification of the Fungi and a tool for evolutionary ecological analyses

2018; Springer Science+Business Media; Volume: 90; Issue: 1 Linguagem: Inglês

10.1007/s13225-018-0401-0

1878-9129

Leho Tedersoo, Santiago Sánchez‐Ramírez, Urmas Kõljalg, Mohammad Bahram, Markus Döring, Dmitry Schigel, Tom W. May, Martin Ryberg, Kessy Abarenkov,

Fungal Biology and Applications

High-throughput sequencing studies generate vast amounts of taxonomic data. Evolutionary ecological hypotheses of the recovered taxa and Species Hypotheses are difficult to test due to problems with alignments and the lack of a phylogenetic backbone. We propose an updated phylum- and class-level fungal classification accounting for monophyly and divergence time so that the main taxonomic ranks are more informative. Based on phylogenies and divergence time estimates, we adopt phylum rank to Aphelidiomycota, Basidiobolomycota, Calcarisporiellomycota, Glomeromycota, Entomophthoromycota, Entorrhizomycota, Kickxellomycota, Monoblepharomycota, Mortierellomycota and Olpidiomycota. We accept nine subkingdoms to accommodate these 18 phyla. We consider the kingdom Nucleariae (phyla Nuclearida and Fonticulida) as a sister group to the Fungi. We also introduce a perl script and a newick-formatted classification backbone for assigning Species Hypotheses into a hierarchical taxonomic framework, using this or any other classification system. We provide an example of testing evolutionary ecological hypotheses based on a global soil fungal data set.